Results 211 to 220 of about 1,482,013 (279)

Predicting the future direction of cell movement with convolutional neural networks. [PDF]

PLoS One, 2019
Nishimoto S, Tokuoka Y, Yamada TG, Hiroi NF, Funahashi A.   +4 more
europepmc   +1 more source

The Barley stripe mosaic virus γb protein promotes viral cell-to-cell movement by enhancing ATPase-mediated assembly of ribonucleoprotein movement complexes. [PDF]

PLoS Pathog, 2020
Jiang Z, Zhang K, Li Z, Li Z, Yang M, Jin X, Cao Q, Wang X, Yue N, Li D, Zhang Y.   +10 more
europepmc   +1 more source

P3N-PIPO Interacts with P3 via the Shared N-Terminal Domain To Recruit Viral Replication Vesicles for Cell-to-Cell Movement. [PDF]

J Virol, 2020
Chai M, Wu X, Liu J, Fang Y, Luan Y, Cui X, Zhou X, Wang A, Cheng X.   +8 more
europepmc   +1 more source

Elasticity of Diametrically Compressed Microfabricated Woodpile Lattices

Advanced Engineering Materials, EarlyView.
Modulus–porosity relationship is derived for woodpile lattices with struts under diametrical compression. The formula presented here that Young's modulus is proportional to the square of the volume fraction E˜ρ2$E \sim \left(\rho\right)^{2}$ is shown to be consistent with computations and laboratory experiments on 3D‐printed samples.
Faezeh Shalchy, Atul Bhaskar
wiley   +1 more source

A conserved motif in three viral movement proteins from different genera is required for host factor recruitment and cell-to-cell movement. [PDF]

Sci Rep, 2020
Navarro JA, Serra-Soriano M, Corachán-Valencia L, Pallás V.   +3 more
europepmc   +1 more source

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

Advanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng, Ziping Sang, Jiali Zhang, Felix Radtke, Louis Becker, Simone Herzog, Sebastian Weber, Christoph Broeckmann   +7 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Regulators of cell movement during development and regeneration in Drosophila. [PDF]

Open Biol, 2019
Myat MM, Louis D, Mavrommatis A, Collins L, Mattis J, Ledru M, Verghese S, Su TT.   +7 more
europepmc   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

Visualization and Quantification of Cell-to-cell Movement of Proteins in Nicotiana benthamiana. [PDF]

Bio Protoc, 2018
Blekemolen MC, Tark-Dame M, Takken FLW.
europepmc   +1 more source